VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program.

Yan, Yijun; Zhao, Sophia; Fang, Yuxi; Liu, Yuren; Chen, Zhongxin; Ren, Jinchang

Abstract

In this paper, we introduce a new concept in VIP-STB, a funded project through Agri-Tech in China: Newton Network+ (ATCNN), in developing feasible solutions towards scaling-up STB from village level to upper level via some generic models and systems. There are three tasks in this project, i.e. normalized difference vegetation index (NDVI) estimation, wheat density estimation and household-based small farms (HBSF) engagement. In the first task, several machine learning models have been used to evaluate the performance of NDVI estimation. In the second task, integrated software via Python and Twilio is developed to improve communication services and engagement for HBSFs, and provides technical capabilities. In the third task, crop density/population is predicted by conventional image processing techniques. The objectives and strategy for VIP-STB are described, experimental results on each task are presented, and more details on each model that has been implemented are also provided with future development guidance.

Citation

YAN, Y., ZHAO, S., FANG, Y., LIU, Y., CHEN, Z. and REN, J. 2020. VIP-STB farm: scale-up village to county/province level to support science and technology at backyard (STB) program. In Ren, J., Hussain, A., Zhao, H., Huang, K., Zheng, J., Cai, J., Chen, R. and Xiao, Y. (eds.). 2020. Advances in brain inspired cognitive systems: proceedings of the 10th Brain inspired cognitive systems (BCIS) international conference 2019 (BCIS 2019), 13-14 July 2019, Guangzhou, China. Lecture notes in computer science, 11691. Cham: Springer [online], pages 283-292. Available from: https://doi.org/10.1007/978-3-030-39431-8_27

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 10th Brain inspired cognitive systems (BICS) international conference 2019 (BICS 2019)
• Start Date: Jul 13, 2019
• End Date: Jul 14, 2019
• Acceptance Date: Jul 10, 2019
• Online Publication Date: Jul 14, 2019
• Publication Date: Feb 1, 2020
• Deposit Date: Jun 21, 2022
• Publicly Available Date: Jun 21, 2022
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 11691
• Pages: 283-292
• Series Title: Lecture notes in computer science
• Book Title: Advances in brain inspired cognitive systems: proceesings of 10th Brain inspired cognitive systems (BICS) international conference 2019 (BICS 2019), 13-14 July 2019, Guangzhou, China
• ISBN: 9783030394301
• DOI: https://doi.org/10.1007/978-3-030-39431-8_27
• Keywords: Precision agriculture; Machine learning; Information fusion
• Public URL: https://rgu-repository.worktribe.com/output/1650153